Informatics Publishing Limited

A. Chitra ¹, S. Uma ²

Affiliations
1 CSE Department, PSG College of Technology, Coimbatore-641004, TN, IN
2 PSG College of Technology, Anna University, Coimbatore, TN, IN

Abstract

Stock markets are non-linear and chaotic in nature.Though fundamental and technical analysis are used for forecasting the future values of the share prices, as the data involved is voluminous, it is difficult for correct predictions. Neural networks are extensively used by researchers for solving pattern recognition problems. In literature, single level ensemble models are seen. Hence, a two level neural network based ensemble model, “Pattern Prediction Ensemble Model (PAPEM)” is proposed. This model is experimentally found to increase the prediction accuracy of non-linear time series systems. The PAPEM model can be employed in non-linear time series prediction problems like Stock Predictions, Commodity Trading, Forex Trading, Mackey glass, Sunspot, North Atlantic Oscillation Predictions and Electricity Demand Forecasting. Experiments have proved that the performance of the PAPEM model is better than the performance of the individual neural network and single level ensemble models.

Keywords

Cascade Forward Neural Network, Feed Forward Back Propagation Neural Network, Ensemble, Time Series Prediction.

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Nirmala K. Murthy ¹, A. Chitra ¹, R. Parvatham ¹

Affiliations
1 Department of Biochemistry, Avinashilingam Institute for Home Science and Higher Education for Women, Deemed University, Coimbatore - 641 043, IN

Abstract

Fat is an important component of human diet and fulfils several nutritional functions. It is a concentrated source of energy and helps to increase the caloric density of diets. It is an important source of essential fatty acids, a carrier of fat soluble vitamins and facilitates their absorption and mobilisation. In India, vegetable oils are the major source of dietary fats.

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B. N. Sivakumar ¹, A. Chitra ²

Affiliations
1 Professor & Head, MBA Department, Adhiyamaan College of Engineering, Autonomous, Hosur, Tamil Nadu, IN
2 Associate Professor, Sri Ganesh School of Business Management, Salem, Tamil Nadu, IN

Abstract

Digital Payn the present research study an attempt is made to identify the level of ethics followed in Fintech companies in providing the employee welfare measures. Employee welfare means anything done for the comfort and improvements of the employees. The basic purpose of employee’s welfare is to enrich the life of employees and keep them satisfied and it also helps in retaining the employees. The main aim of providing the welfare measures is to bring development in the personality of the worker his/her social, psychological, moral, cultural and intellectual development to make a good worker a citizen and a member of the organization family. The statutory welfare benefit schemes include the provisions of safe drinking water, facilities for sitting, first aid appliances, latrines and urinals, canteen facilities, spittoons, lighting, washing places, changing rooms, maternity leave, Medi-claim insurance scheme and anti-sexual harassment policy. Employees spend at least half their life time at work or getting to it and they know that they contribute to the organization and reasonably free from worry and they feel that when they are in the trouble, they are due to get something back from the organization. People are entitled to be treated as full human beings with personal needs, hopes and anxieties. The main objectives of the research study are the various welfare facilities provided and to understand the employee welfare measures adopted to find out the levels of satisfaction among employees. The findings of the research are most of the employees working in Fintech organizations are having work experience between 6-10 years have rated neutral for the interaction level between employees and the top-level management and majority of employees have given neutral to the satisfaction level towards the medical/ first aid benefits provided by the organization. As per the suggestion providing the welfare facilities as per the law is the important parameter in retaining the employees in the organization for longer period with commitment. To conclude majority of the employees are satisfied with the welfare measures, working condition, and allowances provided by the Fintech organizations.ments, Fintech Platforms, Technological Innovations, Financial Literacy, Online Frauds.

Keywords

Welfare Measures, Employee Involvement, Satisfaction, Performance Improvement.

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